Mandatory Internship AI Agent for Automated Machine Diagnostics and Root-Cause Analysis

• During your internship, you will build a reliable agent that analyzes a user's machine behavior directly from CAN measurements and derives solutions across calibrations, software bugs, or application/hardware issues.
• You will create the agent harness, custom skills, and necessary tools or MCP servers to enable it (e.g. with LangChain).
• Furthermore, you will set up automated signal and event detection routines to capture anomalies such as limit violations, oscillations, derating, and error states.
• You will prepare appropriate context for the agent, integrating relevant documentation, parameters, and domain knowledge.
• Additionally, you will benchmark the agent against established reference cases to assess its accuracy and reproducibility.
• Moreover, you will automate the simulation loop by replaying measurements within a virtual test bench (e.g., TPT) to cross-compare simulated dynamics with measured behavior.
• Finally, you will document the developed tool and present your findings and methodology to the team.

Function: Engineering
Experience Level: Internship